Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
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afhaque
/ Harneys_Data
Created
February 13, 2026 00:21
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| { | |
| "scrapedAt": "2026-02-12T19:20:30.885181Z", | |
| "sourceUrl": "https://www.harney.com/collections/all-loose-tea", | |
| "jobId": "scrape-1770924030884", | |
| "products": [ | |
| { | |
| "name": "Hot Cinnamon Spice", | |
| "price": "$ 0.20", | |
| "originalPrice": null, | |
| "onSale": false, |
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| """ | |
| The most atomic way to train and inference a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
DoH queries resolve over HTTPS for privacy, performance, and security. DoH also makes it easier to use a name server of your choice instead of the one configured for your system.
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| # ----------------------------------------------------------------------------- | |
| # AI-powered Git Commit Function | |
| # Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It: | |
| # 1) gets the current staged changed diff | |
| # 2) sends them to an LLM to write the git commit message | |
| # 3) allows you to easily accept, edit, regenerate, cancel | |
| # But - just read and edit the code however you like | |
| # the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/ | |
| gcm() { |
gcchaan
/ 研修資料まとめ.md
Last active
February 13, 2026 00:10
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